Did you miss our latest roundtable on AI-driven FinOps? Don’t worry, we got you! In this recap, we’ll review what our FinOps experts discussed and the key takeaways from the roundtable discussion. Not much of a reader? Watch it on demand!
Large Language Models (LLMs) are advanced artificial intelligence models designed to comprehend and generate human-like language. With millions or even billions of [parameters, these models, like GPT-3, excel in natural language processing, understanding context, and generating coherent and contextually relevant text across various applications.
Who could have predicted that 2023 would see such a huge leap forward in Artificial Intelligence (AI)? That this was going to be the year industries decided that, this is the decade, we would solve AI. From the earliest research as far back as the 1940s, we’ve all been holding our breath, wondering when AI will live up to the expectations painted by science fiction writers and futurists. With the arrival of ChatGPT from OpenAI, we’ve been catapulted into the next generation.
Despite the siren song of AI in the keynotes, visitors were far more focused on solving real-world problems. These are the issues that have plagued IT practitioners for years, if not decades: troubleshooting and validating performance and availability of their applications, services, and infrastructure.
IT automation delivers plenty of excitement for the financial services industry, with its power to make AI even more intelligent, as AI plays a part in today’s automation journeys.
